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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1299
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    elements related to sports and player performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consultato
    -0.47
     
    -0.34
     tør
    -0.34
    AtIndexPath
    -0.33
     beż
    -0.33
    焼く
    -0.32
     ObjectMapper
    -0.32
     Dyck
    -0.31
     council
    -0.31
     glass
    -0.31
    POSITIVE LOGITS
     Arsenal
    0.93
     Gunners
    0.88
    Arsenal
    0.87
     gun
    0.67
     Gunner
    0.65
     Wenger
    0.65
     Arteta
    0.65
    gun
    0.62
     gunner
    0.62
     Mikel
    0.60
    Activations Density 0.207%

    No Known Activations